English(EN) On the Rate of Gaussian Approximation for Online Linear Regression Problems

新研究详细介绍了在线线性回归的高斯近似率

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

一篇新发表在arXiv上的论文探讨了在线线性回归问题的高斯近似率。该研究由Marina Sheshukova撰写，推导了常数步长设置下的收敛率。研究结果表明，当迭代次数\(n\)已知且足够大时，正态近似率为\(\sqrt{\log{n}/n}\)的阶。 AI

影响为一类特定的回归问题提供了近似率的理论见解，可能为未来的算法开发提供信息。

排序理由发表在arXiv上的学术论文。[lever_c_research降级：ic=1 ai=0.7]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

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arXiv stat.ML TIER_1 English(EN) · Marina Sheshukova, Alain Durmus, Marat Khusainov, Sergey Samsonov · 2026-11-06 05:00

在线线性回归问题的高斯近似率

arXiv:2509.14039v2 Announce Type: replace Abstract: In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergenc…